Introducing a new category: Health Signal Intelligence

Introducing the world's first
real-time prediction
system powered by
voice & vital signs

We turn everyday health signals—voice and vital signs—into early insights that help clinicians stay ahead of patient deterioration.

Health signals have always told a story.
We listen.

Predicate AI Labs was founded on a simple insight: the human body signals deterioration long before it becomes clinically visible.

Our platform captures continuous voice and vital sign data, transforming it into time-aligned signals that reveal subtle physiological change.

Powered by our proprietary OpenDx™ engine, we detect patterns of health deterioration earlier—enabling clinicians to intervene before conditions escalate.

This is not another dashboard. It’s a new layer of clinical intelligence.

98%
sensitivity in identifying true sepsis
Prospective emergency department triage cohort (n=270) using voice-derived features in a low-resource setting

Clinical validation expanding across multiple geographies and care settings

//  DATA INPUTS
Multimodal. Continuous. Patient-specific.
Voice Signals
Your voice as a physiological sensor. Detecting subtle changes in health through speech.
Vital Signals
Continuous physiological monitoring. HR, RR, Temp, SpO₂ from any connected device.
Time-Aligned Data
Signals synchronized across modalities. Capturing change as it happens.
Contextual Data
Clinical history, medications, labs. Used to enhance signal interpretation.
//  CORE PROCESSING
AI
OpenDx™
Core Engine
1Data Fusion
2Pattern Mapping
3Risk Prediction

Platform

How It Works: From Signal to Early Insight

A real-time signal intelligence pipeline that transforms raw physiological data into early indicators of patient deterioration.

Multimodal inputs. Time-aligned. Continuously learned.

Signal Inputs
Vital Sign Streams
HR, HRV, RR, SpO₂, Temp — any wearable
Voice Features
Acoustic, prosodic & linguistic
Continuous Metabolic Monitoring
CGM data
Health History
Medications & labs
Signal Processing
Noise Filtering
Adaptive artifact removal
Feature Extraction
Acoustic, linguistic, and physiological signals
Temporal Alignment
Multi-modal sync engine
AI Engine
Baseline Modeling
Learns patient-specific physiological norms over time
Deviation Detection
Identifies subtle changes from baseline before clinical thresholds
Predictive Signal Mapping
Translates patterns into early indicators of deterioration
Clinical Output
Real-Time Signals
Priority-ranked indicators of patient deterioration
Clinical Escalation Support
Risk-tiered guidance for timely intervention
Explainability Layer
Transparent signal attribution for clinician trust
Population Insights
System-wide visibility into patient risk trends

Where OpenDx™ Creates Immediate Leverage

Most Platforms Capture Data.
Few Extract Signal.

OpenDx™ integrates into platforms where patient data is already being captured—but where early clinical signal remains hidden.

OpenDx™ introduces a signal layer most platforms don’t have—and increasingly need.

Our initial deployments focus on environments where:

  • Data is continuous—but insight is delayed
  • Clinical decisions depend on signals that aren’t yet visible
  • Systems rely on thresholds, alerts, or single data streams
High-Impact Integration Points

OpenDx™ delivers immediate value within:

Remote Patient Monitoring (RPM) Platforms
Enhances existing workflows with earlier detection of clinical change—improving outcomes, retention, and contract value.
Voice & Conversational AI Systems
Converts patient interactions into clinically actionable signal—transforming conversations into a new layer of intelligence.
Healthcare Data & Integration Platforms
Adds a true intelligence layer on top of aggregated data—shifting from infrastructure to clinical insight.
Designed for Integration, Not Replacement
OpenDx™ is built to:
  • Integrates into existing architectures
  • Enhances current workflows
  • Expands platform capabilities
Not to replace what already works.
Where OpenDx™ Delivers First

We begin in environments where the gap between data and actionable insight is most acute—particularly in platforms managing continuous, real-world patient data.

These are the settings where earlier signal detection directly impacts:

→ Clinical performance → Operational efficiency → Platform differentiation

These are also the environments where existing solutions are most exposed.


Business Model

How OpenDx™ Scales

A modular platform designed to power multiple applications, partners, and markets.

IP Layer
Core Intelligence
Licensed globally
Commercial Layer
Distribution & Integration
Partnerships · Integrations
Application Layer
End-User Products
Clinical deployment

OpenDx™ is designed as a foundational intelligence layer that can be deployed across a wide range of healthcare environments. Rather than being tied to a single product or use case, the platform supports multiple pathways to commercialization—through partnerships, integrations, and standalone applications.

IP Layer — Core Intelligence
The underlying platform that powers OpenDx™. Designed to be adaptable across populations, environments, and clinical workflows.
Commercial Layer — Distribution & Integration
Enables OpenDx™ to integrate into existing healthcare platforms, data systems, and partner ecosystems.
Application Layer — End-User Products
Supports the development of applications built on OpenDx™, tailored to specific clinical and market needs.
Aligned Incentives Across the Platform
OpenDx™ enables multiple revenue pathways through partnerships, platform integrations, and applications—while maintaining a unified underlying intelligence layer.

OpenDx™ is built to support many applications—not just one—enabling scalable deployment across healthcare systems globally.


Integration

Built to Integrate Into
Existing Platforms

OpenDx™ is designed to sit within existing healthcare platforms, enhancing—not replacing—current infrastructure.

Common integration points include:
  • Remote patient monitoring (RPM) platforms
  • Clinical data aggregation layers
  • Virtual care and telehealth systems
  • EHR-connected workflows
What OpenDx™ Adds to Your Platform
  • Early detection from combined voice and physiological signals
  • Continuous insight from time-aligned data streams
  • A differentiated layer of clinical intelligence beyond thresholds and alerts
  • A new category of patient signal interpretation

Clinical Validation & Partnerships

All news →
Press Release
Predicate Announces Collaboration with Mayo Clinic to Advance AI-Powered Early Detection of Sepsis
Research
From Prediction to Practice: Clinical Validation of Vocal Biomarkers Within a Population-Specific Multimodal Risk Architecture